Nataša Djurdjević | Mathematics | Best Researcher Award

Best Researcher Award

Nataša Djurdjević
University of Belgrade – Faculty of Agriculture

Nataša Djurdjević
Affiliation University of Belgrade – Faculty of Agriculture
Country Serbia
Scopus ID 58717994600
Documents 4
Citations 15
h-index 2
Subject Area Mathematics
Event Global Innovation Technologist Awards
ORCID 0000-0002-0885-4735

Nataša Djurdjević is a Serbian mathematician and researcher affiliated with the University of Belgrade – Faculty of Agriculture. Her scholarly work primarily focuses on differential geometry, CR submanifolds, and nearly Kähler manifolds, particularly the geometric structures associated with the manifold S3×S3. Through peer-reviewed journal articles and conference contributions, she has contributed to advancing theoretical understanding within modern geometry and mathematical structures.[1] Her academic publications demonstrate sustained engagement with advanced geometric classifications and submanifold theory.[2]

Abstract

This article presents an overview of the academic contributions and scholarly recognition of Nataša Djurdjević in the field of mathematics. Her research activities are centered on differential geometry and the study of CR submanifolds in homogeneous nearly Kähler manifolds. Through analytical classification methods and theoretical investigations, her publications have contributed to the broader understanding of geometric structures and manifold theory in contemporary mathematics.[3]

Keywords

Differential Geometry, CR Submanifolds, Nearly Kähler Manifolds, Mathematical Structures, Geometry Research, S3×S3, Mathematical Classification, Topological Analysis

Introduction

Mathematics remains a foundational discipline in scientific advancement, particularly in the areas of geometry and theoretical analysis. Researchers working in manifold theory and differential geometry contribute significantly to the development of abstract mathematical frameworks used across scientific disciplines. Nataša Djurdjević has participated in this academic field through specialized studies on CR submanifolds and nearly Kähler geometry, producing research that addresses classification problems and geometric properties of higher-dimensional manifolds.[4]

Research Profile

Djurdjević’s research profile reflects active scholarly participation in peer-reviewed mathematical research. Her studies frequently examine geometric structures within homogeneous nearly Kähler manifolds and related CR submanifold classifications. Her work has been indexed through Scopus and ORCID platforms, providing international academic visibility and accessibility for researchers in geometry and topology.[1]

Research Contributions

  • Contributed to the classification of four-dimensional CR submanifolds in homogeneous nearly Kähler manifolds.
  • Published analytical studies related to almost complex distributions and geometric orthogonality.
  • Investigated umbilical sections and structural properties within S3×S3 manifolds.
  • Presented conference research focused on CR submanifold products and manifold geometry.

Publications

  • “Four-Dimensional CR Submanifolds of the Homogeneous Nearly Kähler Product Manifold S3×S3” — Mathematics (2026).
  • “Classification of Four-Dimensional CR Submanifolds of the Homogenous Nearly Kähler S3×S3” — Mathematics (2025).
  • “Some classes of CR submanifolds with an umbilical section of the nearly Kähler S3×S3” — Journal of Geometry and Physics (2021).
  • “Three-dimensional CR submanifolds of the nearly Kähler S3×S3” — Annali di Matematica Pura ed Applicata (2019).

Research Impact

The research contributions of Nataša Djurdjević support the advancement of theoretical mathematics, particularly within the specialized field of geometric manifold analysis. Her work contributes to the academic dialogue surrounding CR submanifolds and nearly Kähler geometry, offering classification frameworks and analytical methods relevant to future mathematical investigations.[5] Citation records and indexed publications further indicate scholarly engagement within the mathematical research community.[2]

Award Suitability

The Best Researcher Award recognition under the Global Innovation Technologist Awards acknowledges sustained scholarly contributions, publication quality, and subject-specific research engagement. Djurdjević’s work in advanced geometry, combined with peer-reviewed publications and international indexing visibility, aligns with the evaluation criteria commonly associated with academic distinction and emerging research excellence in mathematics.[6]

Conclusion

Nataša Djurdjević has established an academic profile centered on differential geometry and CR submanifold theory. Her research publications and conference contributions demonstrate focused engagement with geometric analysis and manifold classification. Through continued scholarly activity and indexed research dissemination, her work contributes to ongoing developments in mathematical sciences and theoretical geometry.

References

  1. Elsevier. (n.d.). Scopus author details: Nataša Djurdjević, Author ID 58717994600. Scopus.
    www.scopus.com/authid/detail.uri?authorId=58717994600
  2. ORCID. (n.d.). Nataša Djurdjević researcher profile and scholarly records.
    orcid.org/0000-0002-0885-4735
  3. Djurdjević, N. (2026). Four-Dimensional CR Submanifolds of the Homogeneous Nearly Kähler Product Manifold S3×S3. Mathematics.
    doi.org/10.3390/math14111790
  4. Djurdjević, N. (2025). Classification of Four-Dimensional CR Submanifolds of the Homogenous Nearly Kähler S3×S3. Mathematics.
    doi.org/10.3390/math13162638
  5. Djurdjević, N. (2021). Some classes of CR submanifolds with an umbilical section of the nearly Kähler S3×S3. Journal of Geometry and Physics.
    doi.org/10.1016/j.geomphys.2020.104002
  6. Djurdjević, N. (2019). Three-dimensional CR submanifolds of the nearly Kähler S3×S3. Annali di Matematica Pura ed Applicata.
    doi.org/10.1007/s10231-018-0770-8

Gopal Saha | Operations Research | Best Researcher Award

Mr. Gopal Saha | Operations Research | Best Researcher Award

PhD student at IIT Roorkee | India

Mr. Gopal Saha is a dedicated researcher and Ph.D. candidate in Management Studies at the Indian Institute of Technology Roorkee, with primary research interests in Integer Programming, Optimization, Transportation and Routing Problems, Machine Learning, and Game Theory. His scholarly work focuses on integrating operations research and data analytics to address real-world decision-making and sustainability challenges. He has presented influential research papers at renowned international conferences, including the IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) and the Transportation Infrastructure Projects: Conception to Execution (TIPCE), earning accolades such as a special mention award and selection for the Best Paper Award shortlist. Mr. Saha has actively participated in specialized academic workshops, including the ACM India Winter School, GIAN courses, and Large Scale Optimization programs at IITs, reflecting his deep engagement with cutting-edge research. His technical proficiency spans Python, C++, CPLEX, Gurobi, Pyomo, Sklearn, and Google OR-Tools, allowing him to combine computational models with theoretical insights in optimization and management science. As a Teaching Assistant, he has contributed to prestigious online programs on Artificial Intelligence, Machine Learning, and Strategic Supply Chain Management offered by IIT Roorkee in collaboration with Deloitte USI and Coursera. His growing academic footprint includes 1 citation, an h-index of 1, (all since 2020), highlighting his emerging impact in the field. Mr. Saha’s work exemplifies a strong blend of analytical rigor, innovation, and interdisciplinary research in optimization and management.

Profile: Google Scholar

Featured Publications

  1. Saha, G., & Gupta, M. K. (2023). Fair cost-savings allocation in transportation game. In Proceedings of the 2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE.

  2. Saha, G., & Gupta, M. K. (2025). Fair cost savings allocation in two-stage fixed-cost transportation problem. INFOR: Information Systems and Operational Research, 1–39.

 

 

Erik De Kuyffer | Planning Optimization | Best Researcher Award

Mr. Erik De Kuyffer | Planning Optimization | Best Researcher Award

PhD Student at University of Ghent, Belgium

Erik De Kuyffer is a seasoned project and program manager with extensive experience in IT, logistics, customer service, and business development. His expertise lies in optimization, innovation, and people management, making him a valuable asset in various industries. He has led teams, managed complex projects, and developed new services across multiple organizations.

Publication Profile 

Scopus

Orcid 

Educational Background 🎓

  • Ongoing: Ph.D. in Artificial Intelligence, Ghent University (UGent)
  • 2011: Postgraduate TIM, HoGent
  • 2008: ManaMa Avionica & Spacionica, KHBO
  • 1997: Industrial Engineer Chemistry, KAHO Sint-Lieven
  • 1990: ASO Latin-Mathematics, Sint-Michielscollege Brasschaat

Professional Experience 💼

Current Position:

  • INDEFF (2023 – Present)Freelance Managed Services Lead
    • Leads project and program management initiatives.
    • Manages IT and OT teams.
    • Develops and markets new services.

Previous Roles:

  • Qurtinz (2021 – 2023) – Freelance Project Manager
    • Oversaw daily operations, customer service, and IT management.
    • Managed administrative and installation teams.
  • INDEFF (2018 – 2021) – PM/Regional Director
    • Handled project/program management, business development, and support teams.
  • Vandapower (2017) – Operations Director
    • Managed production, logistics, and quality control.
    • Supervised operational teams.
  • Barco N.V. (2015 – 2017) – Customer Service Manager
    • Improved customer service flows and developed new services.
    • Led a team of engineers.
  • Generix Group (2012 – 2015) – PM/Customer Service Manager
    • Managed software projects, presales, and customer service.
  • Net Solutions/Eozen (2006 – 2012) – Project Manager
    • Led software and IT projects, technical analysis, and presales activities.
  • Influe Benelux NV (1999 – 2006) – Technical Manager EDI/VMI
    • Managed technical implementations, parameter settings, and project coordination.
  • GHD Katoennatie Gent (1998 – 1999) – Logistic Warehouse Manager
    • Oversaw daily warehouse operations for Volkswagen.
  • Procter & Gamble (1997 – 1998) – Research Associate
    • Conducted market research for detergent product launches.

Research Interests 🔬

  • Artificial Intelligence (AI)
  • Project Management Optimization
  • IT and Digital Transformation
  • Automation and Process Optimization
  • Logistics and Supply Chain Management

Awards and Honors🏆✨

  • Prince2 Certificate (Project Management)
  • Recognized expertise in project/program management across multiple industries.

Conclusion🌟

Erik De Kuyffer is a highly experienced professional with a strong background in project and program management, IT, logistics, and artificial intelligence. His diverse career spans leadership roles across industries, showcasing expertise in business development, innovation, and optimization. Currently pursuing a Ph.D. in AI at Ghent University, he continues to explore cutting-edge technologies and their applications in various domains.

Publications 📚

📌 Travel route and formation optimization for flocks of drones in package delivery by using an ACO based V-Shape algorithm
📅 2024-12 | 📚 Results in Engineering
🔗 DOI: 10.1016/j.rineng.2024.103627
✍️ Contributors: E. De Kuyffer, W. Joseph, L. Martens, T. De Pessemier


📌 Offshore windmill and substation maintenance planning with Distance, Fuel consumption and Tardiness optimisation
📅 2023 | 📚 Operations Research Perspectives
🔗 DOI: 10.1016/j.orp.2023.100267
✍️ Contributors: E. De Kuyffer, K. Shen, L. Martens, W. Joseph, T. De Pessemier


 

 

 

Kamta Nath Mishra | Decision Sciences | Best Researcher Award

Prof. Kamta Nath Mishra | Decision Sciences | Best Researcher Award

Associate Professor at Birla Institute Of Technology Mesra Ranch, India

Dr. Kamta Nath Mishra 🎓 is a dedicated educator and researcher in Computer Science & Engineering 💻, with over 22 years of experience. He holds a Ph.D. from Birla Institute of Technology and has taught internationally 🌍. His research interests span cloud computing ☁️, IoT 📶, and machine learning 🤖. Passionate about innovation, he continues to inspire students and contribute to the field! 🌟

Publication Profile : 

Scopus

Orcid

 

🎓 Educational Background :

Dr. Kamta Nath Mishra earned his Ph.D. in Engineering from the Birla Institute of Technology, Mesra, Ranchi, focusing on multi-biometric systems for personal identification. He holds an M.S. in Software Systems from BITS Pilani and an MCA from Madan Mohan Malviya University of Technology. His academic journey began with a B.Sc. from Gorakhpur University.

💼 Professional Experience :

Dr. Mishra has over 22 years of teaching and research experience, including 3 years at a foreign university. He served as an Assistant Professor in the Computer Science Department for a joint program between Michigan State University and Sebha University in Libya. Currently, he is an Assistant Professor at the Birla Institute of Technology, Mesra, where he teaches B.Tech and M.Tech students in Computer Science and Engineering. His prior roles include Senior Lecturer and Project Engineer at various prestigious institutions in India, where he developed multiple research projects and guided numerous students.

📚 Research Interests : 

Dr. Mishra’s research interests include cloud computing, IoT, data privacy, machine learning, and bioinformatics. He has published extensively in international journals and conferences, contributing to advancements in technology and engineering.

📝 Publication Top Notes :

  1. Pathak, M., Mishra, K. N., & Singh, S. P. (2024). Securing data and preserving privacy in cloud IoT-based technologies: An analysis of assessing threats and developing effective safeguards. Artificial Intelligence Review, 57(10), 269.
  2. Ray, S., Mishra, K. N., & Dutta, S. (2024). Security enhancements in M-health using distributed ledger technology-based digital locker system. International Journal of Information Technology (Singapore), 16(7), 4253–4271.
  3. Ray, S., Mishra, K. N., & Dutta, S. (2024). A proactive approach to DDoS attack recognition and preclusion in securing m-health systems. Sadhana – Academy Proceedings in Engineering Sciences, 49(3), 231.
  4. Ahamad, R., & Mishra, K. N. (2024). Enhancing knowledge discovery and management through intelligent computing methods: A decisive investigation. Knowledge and Information Systems, 66(7), 3719–3771.
  5. Ahamad, R., & Mishra, K. N. (2024). Hybrid approach for suspicious object surveillance using video clips and UAV images in cloud-IoT-based computing environment. Cluster Computing, 27(1), 761–785.
  6. Mishra, K. N., Bhattacharjee, V., Saket, S., & Mishra, S. P. (2024). Security provisions in smart edge computing devices using blockchain and machine learning algorithms: A novel approach. Cluster Computing, 27(1), 27–52.
  7. Mishra, K. N., Mishra, A., Ray, S., Kumari, A., & Waris, S. M. (2024). Enhancing cancer detection and prevention mechanisms using advanced machine learning approaches. Informatics in Medicine Unlocked, 50, 101579.
  8. Ahamad, R., & Mishra, K. N. (2024). Intelligent computing methods for knowledge discovery and management: Analysis, comparison, and application domains. In Proceedings of the 2nd International Conference on Advancements in Smart, Secure and Intelligent Computing, ASSIC 2024.
  9. Mishra, A., Jabar, T. S., Alzoubi, Y. I., & Mishra, K. N. (2023). Enhancing privacy-preserving mechanisms in cloud storage: A novel conceptual framework. Concurrency and Computation: Practice and Experience, 35(26), e7831.
  10. Ahamad, R., & Mishra, K. N. (2023). Knowledge discovery of suspicious objects using a hybrid approach with video clips and UAV images in distributed environments: A novel approach. Wireless Networks, 29(8), 3393–3416.